Welcome to my data science repository! This repository contains a collection of projects that I have worked on, covering a variety of topics and techniques.

• Project-1: Study & Research
• Project-2: Regression
• Project-3: Energy Data Analysis
• Project-4: Anomaly Detection
• Project-5: All-In-One
• Project-6: GeoSpatial Data
• Project-7: Machine Learning
• Project-8: Data Science Practice
• Project-9: Deep Learning Python

This project is a collection of studies and research that I have conducted in the field of data science. It includes exploratory data analysis, hypothesis testing, and other research techniques.

In this project, I explore various regression techniques, including linear regression, polynomial regression, and decision tree regression. I also compare the performance of these techniques on a real-world dataset.

This project focuses on analyzing energy consumption data. I explore various data visualization techniques and use machine learning algorithms to predict energy consumption.

In this project, I explore various techniques for detecting anomalies in data. I use techniques such as clustering, isolation forests, and one-class SVMs to detect anomalies in a real-world dataset.

This project is a collection of various data science techniques and algorithms that I have implemented. It includes techniques such as clustering, classification, regression, and anomaly detection.

In this project, I explore various techniques for analyzing geospatial data. I use techniques such as k-means clustering, DBSCAN, and spatial autocorrelation to analyze geospatial data.

This project focuses on various machine learning techniques, including supervised and unsupervised learning. I explore techniques such as k-nearest neighbors, decision trees, random forests, and support vector machines.

In this project, I practice various data science techniques and algorithms on real-world datasets. It includes techniques such as data cleaning, data visualization, and machine learning.

This project focuses on deep learning techniques using Python. I explore techniques such as convolutional neural networks, recurrent neural networks, and long short-term memory networks.

This repository is licensed under the MIT License.

If you have any questions or comments, please feel free to reach out to me at [your email address].